neural network expert system 中文意思是什麼
neural network expert system
解釋
神經網路專家系統-
The experimental results show that the system constructed by this method has the virtues of robustness, flexibility, explicable ability and self - study capability, since the new method has got both the merits of expert system and of neural network
實驗結果表明，混合型專家系統既具有專家系統靈活性、解釋性的特點，又具有神經網路魯棒性、自學習能力的特點，因此非常適合用於企業信用評價，具有廣泛的應用前景。 -
The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance
採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。 -
Expert system has many merits. it has the ability of heuristic illation, and can explain for illation and append new knowledge in the knowledge database. but it also has obvious shortcomings, such as, poor ablitity in ka ( knowledge achieve ), inefficient and incomprehensive. the artificial neural network has the ablitity of parallel processing, associative memory, distributed storage of knowledge and high robust etc. it also has perfect characteristics of self - organizing, self - adaptive, self - learning. it specializes in visualize ideation but is short of logic ideation
專家系統在故障診斷領域得到廣泛的應用，專家系統具有許多優點，能利用專家的知識進行啟發式推理，能夠解釋其推理過程，並能夠不斷地、靈活地增加新的知識。但專家系統也存在明顯的缺陷：獲取知識能力差、效率低、范圍窄。可以說專家系統長于邏輯思維缺乏形象思維。 -
Based on the spaceflight technology innovation program of “ research on the testing method of reliability - - - - research on the fault diagnostic expert system and neural network ” and the pre - research defense projects of “ research on longevous service and high reliability of satellites ” of the national tenth - five - year plan, taking attitude control system of a satellite as object, the theories and the applications of the neural networks and expert system in the fault diagnosis are studied in this dissertation
本文以航天技術創新基金項目「可靠性試驗方法研究? ?故障診斷的專家系統神經網路技術研究」和國家武器裝備「十五」預研項目「衛星長壽命高可靠性技術」為背景，以衛星姿態控制系統為研究對象，在理論和實踐兩個方面對神經網路和專家系統相結合的故障診斷技術及其在衛星中的應用進行了研究。 -
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last
在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。 -
Expert system based on fuzzy neural network for the optimal control of blank holder force
神經網路簡化模型設計多變量自適應模糊控制器 -
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。 -
The first chapter surveys the state - of - the - art of intrusion detection and the related problems. the second chapter provides the details of intrusion detection techniques, in particularly, it introduces two concepts ( network - based ids ( nids ) and host - based ids ( hids ) ), and the distributed ids. besides, this chapter proposes three intrusion detection methods ( misuse detection, anomaly detection and integrality test ), and discusses the applications of the artificial neural network technology 、 expert system technology 、 and pattern reasoning technology in the ids
第二章討論入侵檢測技術基礎，介紹了基於網路的入侵檢測系統（ ndis ）和基於主機的入侵檢測系統（ hdis ）的概念，對分散式入侵檢測系統也進行了相關介紹;討論了三種入侵檢測辦法，包括誤用檢測（ misusedetection ） 、異常檢測（ anomalydetection ）和完整性檢測，介紹了人工神經網路技術、專家系統技術以及模式推理技術在ids中的應用。 -
Visual rice growth models ( vrgm ) and rice expert system of cultivation management for high yield were established by synthesizing the results of " national rice project " and combining the cultivation knowledge, experience of experts, while the techniques of artificial neural network and fuzzy logic were employed to improve the rice growth models and the expert system. the main results are as follows
本研究系國家「九五」攻關項目「水稻大面積高產綜合配套技術研究與示範」課題的子專題，結合水稻高產栽培技術資料和水稻專家的知識、經驗以及科研成果，研製成了可視水稻生長模型（ visualricegrowthmodels ， vrgm ）及水稻高產栽培專家系統，並在此基礎上進一步利用人工神經網路模型、模糊邏輯技術和田間栽培試驗，對生長模型和專家系統進行了改進。 -
Research of computer - interlocking control systematic fault diagnosis expert system based on neural network
基於神經網路聯鎖系統故障診斷專家系統的研究 -
And then, we introduce the fault diagnosis expert system and the k layers of bp neural network, and bring forward a hierarchical structure graph. at last, we list some instances of the above - described models and fault diagnosis
根據hj04a系統的具體情況，對4種故障模型和3種診斷方法都給出了具體的實例，並且一一進行了分析。 -
Presents the application of fault prediction technique and the way of predicting its numerical values, the algorithm given for the neural network model in the prediction process, and illustrates with the gas pipeline of a space propulsion system as an example the realization of fault prediction by combining the neural network and the fault prediction technique with the diagnosis expert system to form a fault prediction system
探討了故障預報技術的應用及其數值預測方法，給出了神經網路模型在預測過程中的演算法.把神經網路、預測技術和診斷專家系統相結合建立了一個故障預報系統；以空間推進系統氣路部分的故障為例，實現了故障的預測 -
The fault diagnosis software of power supply system applying the expert system theory is programmed under vb 6. 0. while the fault diagnosis of electric load manage center and solid state power controller is based on the neural network theory, whose software is realized through adopting the neural network toolbox of matlab 6. 1 in vb 6. 0
對于飛機供電系統，在vb6 . 0中編寫了基於專家系統理論的故障診斷軟體；對于電氣負載管理中心和固態功率控制器，其故障診斷軟體則基於神經網路理論，通過在vb6 . 0中調用matlab6 . 1的神經網路工具箱完成。 -
The paper focuses on the application of the theories of expert system and neural network in the fault diagnosis of electrical power system of more - electric - aircraft respectively. the design and realization of the more - electric - aircraft electrical power system fault diagnosis software are then introduced in detail
本文著重討論了專家系統理論和人工神經網路理論在多電飛機電氣系統故障診斷中的應用，詳細介紹了多電飛機電氣系統故障診斷軟體的設計思想和實現方法。 -
In the paper, the following main factors are studied, such as developing the expert knowledge - base based on the special knowledge of the explosive demolition of frame building, designing the object - oriented expert system of the explosive demolition of frame building, developing the neural network training example base based on projects, developing the forecasting mode of blast effects with matlab 6. 1, developing the expert system of explosive demolition of frame building with visual b 6. 0, carrying out the connection of the expert system and forecast mode. the system consisted of eleven functional modules, such as the input of initial parameters module, the choice of the blasting method module, the choice of blast mode module, the design of blasting parameters module, the design of charge module, the verifying blasting safety module, the calculating safety of tumble module, the design of detonating net module, the blast effects forecasting module and the calculating volume module
本文的研究內容有：以框架結構樓房拆除爆破領域的專業知識為基礎製作專家系統知識庫；設計一般面向對象的框架結構樓房爆破拆除設計的專家系統；搜集相關爆破工程實例製作用於爆堆效果預測神經網路訓練的樣本數據庫；選取適當的輸入輸出因素，用matlav6 . 1構建爆破效果預測神經網路模型；用vb6 . 0編程開發出框架結構樓房拆除爆破專家系統，並實現爆破效果預測神經網路模型和專家系統的鏈接。該系統由初始參數輸入、倒塌方法選取、倒塌方案確定、孔網參數設計、缺口形狀及參數、爆破安全校核、傾倒安全校核、爆破網路、爆破效果預測、工程量計算、計算設計說明書等十一大功能模塊組成。 -
Fourth, after the characters of neural network, fuzzy technology and expert system were analyzed three models about combining expert system and neural network and their respective applied condition have been proposed. the methods of using fuzzy knowledge in expert system and combining neural network and fuzzy logic have also been discussed
第四，在對專家系統、神經網路和模糊技術各自的特點進行深入地分析之後，本論文提出了將專家系統和神經網路相結合的三種模型，分析了各模型所適用的環境，並討論了對符號專家系統進行模糊化改造以及模糊邏輯同神經網路相結合的方法。 -
The gcad system utilizes artificial neural network to mapping coefficients of the gear, establish the foundation for optimization design of the gear. by parametric design, the system realizes drawing and solid modeling. by using expert system, the gcad system can aided designer to make some scheme decision, as well as some important designing, calculating, checking, analysis and drawing, so, can improve the design quality, as well as work efficiency of the designer
Gcad系統包括參數計算、參數化繪圖、專家系統、輔助功能和幫助系統五個部分，通過matlab引擎，充分發揮了matlab及autocad各自的優勢；通過利用人工神經網路映射齒輪系數，為齒輪傳動的結構優化設計奠定了基礎；通過參數化設計，實現了齒輪的二維參數化繪圖和三維實體建模；通過將專家系統應用於gcad系統中，初步實現了集方案輔助決策、設計、計算、校核、分析以及繪圖功能於一體，提高了齒輪設計水平、設計質量和設計人員的工作效率。 -
In this paper, the fault diagnostic problem of middle storage pulverizing system for chongqing power plant is developed, by mixed knowledge representation 、 bp neural network 、 expert system based on knowledge technology etc are integrated in this system
本文針對重慶發電廠中間儲倉式制粉系統故障診斷問題，採用混合型知識表示方式、 bp網路技術、基於知識的專家系統技術等相結合的方法，對其診斷系統進行了初步的開發研究。 -
Abstract : the features of artificial neural network andits applications in expert system is described. the advantages and disadvantages ofartificial neura l network expert system to application prospects and significance arealso discu ssed. also d escribes its future and significance
文摘:敘述了人工神經網路的特徵及其在專家系統中的應用，討論了人工神經網路專家系統的優缺點，並進一步描述了其前景和意義 -
A model for short term and super short term forecasting integrating neural network, expert system and dynamic clustering is introduced here, which involves weather, festival and other load forecasting affecting factors
介紹了一種整合神經網路、專家系統和動態聚類多種智能方法為一體的短期/超短期預測模型，綜合考慮了氣象、節假日等負荷影響因素。
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